Disadvantages of Signals and Systems
Let us study the limitations of signals and systems
- Signal processing can be unpredictable and unreliable due to inherent inconsistencies in the signal and system design.
- As the systems get complicated, the mathematics used also gets difficult with difficult concepts like convolution, Fourier transform and Laplace transform.
- Signals and systems can degrade the quality of signal due to interference of noise and errors corrupting the original signal.
- Methods involved in signals and systems are designed based on certain assumptions that are not true for real-life signals. This can lead to inaccurate results.
- The signals and systems are effective for dealing with Linear systems therefore they can’t be used to deal with the modeling and processing of nonlinear signals.
Signals and Systems
Electronics and communication engineering deals with signal processing and signal transmission. This field of engineering is known as signals and systems. In this article, we will introduce the readers to signals and systems by defining all the necessary terms and discussing the components that make up the communication system.
We will also categorize signals and systems based on their classification and try to understand them through circuit diagrams. The later part of the article will talk about the characteristics, advantages, and applications of signals and systems along with some limitations. The article will conclude with some frequently asked questions that the readers can refer to.
Table of Content
- Signals and Systems
- Components
- Signals
- Types
- Analog Vs Digital Signals
- System
- Conversion of Analog to Digital Signals
- Why do we need to convert an Analog Signal to a Digital Signal?
- Continuous Systems vs Discrete Systems
- Characteristics
- Advantages
- Disadvantages
- Applications